experiments/embeddings_finetuned_gte_large.yml

data_dir: 'data'

chunk_method: {
    'method': 'token-overlap',
    'args': {
        'chunk_size': 100,
        'chunk_overlap': 25
    }
}

vectorstore_model: {
    'model_source': 'huggingface',
    'model_name': 'lw2134/policy_gte_large_2plus',
    'api_url': 'https://gbjss828u09jxjs6.us-east-1.aws.endpoints.huggingface.cloud',
    'vector_size': 1024
}

# Metrics: faithfulness, answer_relevancy, context_precision, context_recall
metrics: ['context_precision', 'context_recall', 'faithfulness', 'answer_relevancy']
ls_project: 'policy-rag'
ls_dataset_name: "policy-golden-1000-over-100"
ls_experiment_name: 'policy-embed-ft-gte-lg-2-100pl'